Suitability and limitations of portion-specific abattoir data as part of an early warning system for emerging diseases of swine in Ontario
The objectives were to identify non-disease factors that may bias these data for disease surveillance and determine if major disease events that took place during the study period would be captured using multi-level modelling and scan statistics.
Data collected at all provincially-inspected abattoirs in Ontario, Canada during 2001-2007 were analysed due to outbreaks of porcine circovirus-associated disease (PCVAD), porcine reproductive and respiratory syndrome (PRRS) and swine influenza that produced widespread disease within the province. Negative binomial models with random intercepts for abattoir, to account for repeated measurements within abattoirs, were created. The relationships between partial carcass condemnation rates for pneumonia and nephritis with year, season, agricultural region, stock price, and abattoir processing capacity were explored. The utility of the spatial scan statistic for detecting clusters of high partial carcass condemnation rates in space, time, and space-time was investigated.
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Article made possible through the contribution of Andrea L Thomas-Bachli, David L Pearl, Robert M Friendship, Olaf Berke and BioMed Central.